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Scrape Timestamp (UTC): 2025-07-11 11:06:08.471
Source: https://thehackernews.com/2025/07/securing-data-in-ai-era.html
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Securing Data in the AI Era. The 2025 Data Risk Report: Enterprises face potentially serious data loss risks from AI-fueled tools. Adopting a unified, AI-driven approach to data security can help. As businesses increasingly rely on cloud-driven platforms and AI-powered tools to accelerate digital transformation, the stakes for safeguarding sensitive enterprise data have reached unprecedented levels. The Zscaler ThreatLabz 2025 Data Risk Report reveals how evolving technology landscapes are amplifying vulnerabilities, highlighting the critical need for a proactive and unified approach to data protection. Drawing on insights from more than 1.2 billion blocked transactions recorded by the Zscaler Zero Trust Exchange between February and December 2024, this year's report paints a clear picture of the data security challenges that enterprises face. From the rise of data leakage through generative AI tools to the undiminished risks stemming from email, SaaS applications, and file-sharing services, the findings are both eye-opening and urgent. The 2025 Data Risk Report sheds light on the multifaceted data security risks enterprises face in today's digitally enabled world. Some of the most noteworthy trends include: There has never been a more critical time to rethink your enterprise's approach to data security. The 2025 ThreatLabz Data Risk Report offers a comprehensive look at where risks lie, what drives them, and how organizations can respond effectively to secure their sensitive data in today's rapidly evolving, AI-driven ecosystem. To learn more about Zscaler Zero Trust Architecture and Zero Trust + AI, visit zscaler.com/security
Daily Brief Summary
The Zscaler ThreatLabz 2025 Data Risk Report highlights growing vulnerabilities in data security as enterprises adopt AI tools and cloud platforms.
Insights from over 1.2 billion blocked transactions between February and December 2024 stress the urgency of improving data protection strategies.
Key challenges identified include data leakage through generative AI, persistent risks from email, SaaS applications, and file-sharing services.
The report underscores the necessity of a proactive, unified, AI-driven approach to protect sensitive enterprise data.
Evolving technology environments are intensifying data security risks, necessitating a reevaluation of current security measures.
Enterprises are encouraged to explore Zscaler’s Zero Trust Architecture and AI-enhanced security solutions to mitigate data threats effectively.